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krimler/README.md

Hi, I’m Madhava Gaikwad!

Senior Software Engineer working at the intersection of Distributed Systems, AI alignment, privacy/DP, and ML systems. I turn theory into runnable, tested artifacts.

  • What I build: small, composable systems; clear Quickstarts; minimal tests/CI; figures you can reproduce.

  • Focus areas: alignment loops (RLHF & beyond), operator views of learning, differential privacy for LLMs, reliability at datacenter scale.

  • Talk to me about: turning research into demos, privacy-first LLMs, and robust infra for ML.

📫 *Email: gaikwad.madhav@gmail.com * ·

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  1. NPO NPO Public

    Learning Alignment and Meta-Alignment through Structured Human Feedback

    Python

  2. alignDP alignDP Public

    Selective Differential Privacy Algorithm for Feedback Learning

    Python

  3. opal-gkpo opal-gkpo Public

    GKPO Generalized Kernel Perference Object scheme stemming from Opal framework for RLHF

    Python 3

  4. chava chava Public

    A Verification-Aware Data Model for Trust-Carrying Data Processing

    Python

  5. moralbench moralbench Public

    A Multi-Faceted Benchmark for Ethical and Safety Alignment in LLMs

    Python